End of training

README.md

@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5531
-- Rouge1: 0.1431
-- Rouge2: 0.0537
-- Rougel: 0.1186
-- Rougelsum: 0.1187
+- Loss: 2.3055
+- Rouge1: 0.1962
+- Rouge2: 0.0978
+- Rougel: 0.1664
+- Rougelsum: 0.1666
 - Gen Len: 19.0
 
 ## Model description
@@ -48,17 +48,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 62   | 2.8477          | 0.1319 | 0.043  | 0.1107 | 0.111     | 19.0    |
-| No log        | 2.0   | 124  | 2.6336          | 0.1394 | 0.0491 | 0.1154 | 0.1155    | 19.0    |
-| No log        | 3.0   | 186  | 2.5702          | 0.1405 | 0.0514 | 0.1164 | 0.1164    | 19.0    |
-| No log        | 4.0   | 248  | 2.5531          | 0.1431 | 0.0537 | 0.1186 | 0.1187    | 19.0    |
+| No log        | 1.0   | 62   | 2.3232          | 0.1957 | 0.0971 | 0.1654 | 0.1656    | 19.0    |
+| No log        | 2.0   | 124  | 2.3097          | 0.1964 | 0.0982 | 0.1664 | 0.1666    | 19.0    |
+| No log        | 3.0   | 186  | 2.3055          | 0.1962 | 0.0978 | 0.1664 | 0.1666    | 19.0    |
 
 
 ### Framework versions

runs/Nov07_10-43-52_395bd1858daf/events.out.tfevents.1730976233.395bd1858daf.392.2

@@ -1,3 +1,3 @@
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-size 6981
+oid sha256:1e4225ee32c54b19e4d89fabf7b2f23c913fc65bfe4bc04781adacf010a9fe3f
+size 7860